255 rezultatov
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Computer Security and the Internet(2021) VAN OORSCHOT, PAUL C.This book provides a concise yet comprehensive overview of computer and Internet security, suitable for a one-term introductory course for junior/senior undergrad or first-year graduate students.Vezava: Trda84,21 € -
Blockchain, Artificial Intelligence, and the Internet of Things(2021)This book provides basic concepts and deep knowledge about various security mechanisms that can be implemented in IoT through Blockchain technology. This book gives descriptive analysis of Blockchain integrated with IoT applications and platforms for theVezava: Trda49,21 € -
Sentiment Analysis(2020) LIU, BING (UNIVERSITY OF ILLINOIS, CHICAGO)Sentiment analysis is the computational study of people's opinions, emotions, and attitudes. This comprehensive introduction covers all core areas useful for researchers and practitioners in natural language processing, computer science, management sciencVezava: Trda117,24 € -
Nine Algorithms That Changed the Future(2020) MACCORMICK, JOHNEvery day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-proneVezava: Mehka27,45 € -
Big Data(2019) SARANGI, SASWAT,SHARMA, PANKAJBig Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terrabytes that will continue to shape our lives in ways imagined and unimagined.Vezava: Mehka76,02 € -
Microsoft Azure Data Solutions - An Introduction(2021) SEARA, DANIEL,MILANO, FRANCESCO,DOMINICI, DANILOVezava: Mehka52,50 € -
Designing with the Mind in Mind(2020) JOHNSON, JEFF (PRESIDENT AND PRINCIPAL CONSULTANT, UI WIZARDS, INC., USA)Vezava: Mehka73,36 € -
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MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence(2017) KIM PHILVezava: Trda84,21 € -
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist(2017) THOMAS MAILUNDVezava: Trda46,07 € -
Tidy Modeling with R(2022) KUHN, MAX,SILGE, JULIAGet going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists hoVezava: Mehka68,39 € -
Kubeflow for Machine Learning(2020) TREVOR, GRANT,KARAU, HOLDEN,LUBLINSKY, BORIS,LIU, RICHARD,FILONENKO, ILANThis guide helps data scientists build production-grade machine learning implementations with Kubeflow and shows data engineers how to make models scalable and reliableVezava: Mehka56,06 € -
Data Science from Scratch(2019) GRUS, JOELWith this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.Vezava: Mehka68,39 € -
Think Stats 2e(2014) DOWNEY, ALLENIf you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs writVezava: Mehka56,53 € -
Practical Data Migration(2020) MORRIS, JOHNYThis book is for executives and practitioners tasked with the movement of data from old systems to a new repository. It uses a series of steps guaranteed to get the reader from an empty new system to one that is working and backed by the user population.Vezava: Mehka73,82 €
